Risk Of Metabolic Syndrome Research Articles

Periconceptional Dietary Quality and Metabolic Syndrome at 3 Years Postpartum.

The period around pregnancy is a critical window in the primordial prevention of cardiovascular disease, but little is known about the role of dietary patterns in cardiometabolic health. Our objective was to determine the association between alignment of periconceptional diet with the 2020 to 2025 Dietary Guidelines for Americans and the risk of metabolic syndrome. We used data from the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-Be Heart Health Study, a pregnancy cohort study that followed pregnant participants to a median of 3 years postpartum (n=4423). Usual dietary intake in the 3 months around conception was estimated from a Food Frequency Questionnaire. Alignment with the Dietary Guidelines was measured using the Healthy Eating Index-2020, where higher scores represent greater alignment. Postpartum metabolic syndrome was defined using the American Heart Association/National Heart, Lung, and Blood Institute guideline. The prevalence of metabolic syndrome at 3 years postpartum was 20%. After adjusting for confounders, the prevalence of metabolic syndrome was flat up to a periconceptional Healthy Eating Index-2020 total score of ≈60, and then declined steeply as scores increased. Compared with a Healthy Eating Index-2020 score of 60, having scores of 70, 80, and 90 were associated with 2, 4, and 7 fewer cases of metabolic syndrome per 100 individuals, respectively (prevalence differences: -0.02 [95% CI, -0.03, 0]; -0.04 [-0.08, -0.1]; -0.07 [-0.13, -0.02]). Dietary interventions around conception and systems-level changes to support high diet quality may be important for improving postpartum cardiometabolic health, and helping to reverse or slow the decline in women's cardiometabolic health.

Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in European Children

Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in European Children

Metabolic syndrome risk prediction in an Australian sample with first-episode psychosis using the psychosis metabolic risk calculator: A validation study.

To examine the accuracy and likely clinical usefulness of the Psychosis Metabolic Risk Calculator (PsyMetRiC) in predicting up-to six-year risk of incident metabolic syndrome in an Australian sample of young people with first-episode psychosis. We conducted a retrospective study at a secondary care early psychosis treatment service among people aged 16-35years, extracting relevant data at the time of antipsychotic commencement and between one-to-six-years later. We assessed algorithm accuracy primarily via discrimination (C-statistic), calibration (calibration plots) and clinical usefulness (decision curve analysis). Model updating and recalibration generated a site-specific (Australian) PsyMetRiC version. We included 116 people with baseline and follow-up data: 73% male, mean age 20.1 years, mean follow-up 2.6years, metabolic syndrome prevalence 13%. C-statistics for both partial- (C = 0.71, 95% CI 0.64-0.75) and full-models (C = 0.72, 95% CI 0.65-0.77) were acceptable; however, calibration plots demonstrated consistent under-prediction of risk. Recalibration and updating led to slightly improved C-statistics, greatly improved agreement between observed and predicted risk, and a narrow window of likely clinical usefulness improved significantly. An updated and recalibrated PsyMetRiC model, PsyMetRiC-Australia, shows promise. Validation in a large sample is required to confirm its accuracy and clinical usefulness for the Australian population.

The Association between Cardiovascular Risk Factors and Lichen Sclerosus: A Systematic Review and Meta-Analysis.

Background/Objective: Lichen sclerosus is a chronic inflammatory skin disease that affects people of all ages and sexes. Evidence of cardiovascular risk factors in lichen sclerosus has been continuously reported; however, the definitive association remains inconclusive. This meta-analysis aimed to summarize the association between cardiovascular risk factors and lichen sclerosus. Methods: Electronic databases, including MEDLINE and EMBASE, were systematically searched from inception to May 2024 to identify the literature reporting the association between cardiovascular risk factors and lichen sclerosus. A random-effects model was used for the meta-analysis. Results: We included 16 eligible studies: nine case-control studies, six retrospective cohort studies, and one cross-sectional study. A total of 432,457 participants were included. Lichen sclerosus was significantly associated with type 2 diabetes mellitus with an odds ratio of 2.07 (95% CI: 1.21-3.52). Although not statistically significant, a trend of increasing risk in hypertension, dyslipidemia, obesity, and metabolic syndrome was observed among lichen sclerosus patients, with odds ratios of 1.56 (95% CI: 0.90-2.70), 1.44 (95% CI: 0.94-2.23), 5.84 (95% CI: 0.37-92.27), and 1.36 (95% CI: 0.52-3.54), respectively. Conclusions: Lichen sclerosus was associated with diabetes mellitus and potentially correlated with hypertension, dyslipidemia, obesity, and metabolic syndrome. Population-based prospective observational studies are required to further elucidate these findings and assess the impact of these associations.

Associations between Global Diet Quality Score and Risk of Metabolic Syndrome and Its Components: Tehran Lipid and Glucose Study.

Various food quality indicators have been proposed as tools for predicting metabolic syndrome (MetS). This study investigated the association between global diet quality score (GDQS) and the risks of developing MetS and its components. In this secondary analysis, we included elective adult participants (n=4,548) from the Tehran Lipid and Glucose Study. Dietary data were collected by a valid and reliable semi-quantitative food frequency questionnaire. MetS was defined according to the Iranian modified National Cholesterol Education Program. Multivariable Cox proportional hazard regression models were used to estimate the incidence of MetS in association with GDQS. This study involved 1,762 men and 2,786 women with a mean±standard deviation age of 38.6±14.3 and 35.9±11.8 years, respectively. A total of 1,279 subjects developed MetS during the mean follow-up of 6.23 years. Incidence of MetS was associated with GDQS (hazard ratio [HR], 1; 0.90 [95% confidence interval, CI, 0.82 to 0.98]; 0.84 [95% CI, 0.76 to 0.91]; 0.80 [95% CI, 0.73 to 0.89]; P for trend <0.001) after adjusting for confounding variables. The healthy food group component of GDQS was related to MetS incidence. GDQS in the range of 12%-17% in the fourth quartile was associated with a decrease in incidence of MetS components. Both healthy and unhealthy food group components of the GDQS decreased the incidence of high triglycerides, high blood pressure, and high fasting blood glucose. Higher GDQS was associated with a lower risk of the incidence of MetS or its components among Tehranian adults. Higher intake of healthy food group components and lower consumption of unhealthy food group components of the GDQS predicted lower MetS incidence and risk factors.

Gestational Diabetes Mellitus: Unveiling Maternal Health Dynamics from Pregnancy Through Postpartum Perspectives.

Gestational Diabetes Mellitus (GDM) is the most frequent pregnancy-related medical issue and presents significant risks to both maternal and foetal health, requiring monitoring and management during pregnancy. The prevalence of GDM has surged globally in recent years, mirroring the rise in diabetes and obesity rates. Estimated to affect from 5% to 25% of pregnancies, GDM impacts approximately 21 million live births annually, according to the International Diabetes Federation (IDF). However, consensus on diagnostic approaches remains elusive, with varying recommendations from international organizations, which makes the comparison between research complicated. Compounding concerns are the short-term and long-term complications stemming from GDM for mothers and offspring. Maternal outcomes include heightened cardiovascular risks and a notable 70% risk of developing Type 2 Diabetes Mellitus (T2DM) within a decade postpartum. Despite this, research into the metabolic profiles associated with a previous GDM predisposing women to T2D remains limited. While genetic biomarkers have been identified, indicating the multifaceted nature of GDM involving hormonal changes, insulin resistance, and impaired insulin secretion, there remains a dearth of exploration into the enduring health implications for both mothers and their children. Furthermore, offspring born to mothers with GDM have been shown to face an increased risk of obesity and metabolic syndrome during childhood and adolescence, with studies indicating a heightened risk ranging from 20% to 50%. This comprehensive review aims to critically assess the current landscape of Gestational Diabetes Mellitus (GDM) research, focusing on its prevalence, diagnostic challenges, and health impacts on mothers and offspring. By examining state-of-the-art knowledge and identifying key knowledge gaps in the scientific literature, this review aims to highlight the multifaceted factors that have hindered a deeper understanding of GDM and its long-term consequences. Ultimately, this scholarly exploration seeks to promote further investigation into this critical area, improving health outcomes for mothers and their children.

Fresh Tomato (Lycopersicon esculentum Mill.) in the Diet Improves the Features of the Metabolic Syndrome: A Randomized Study in Postmenopausal Women.

(1) Background: According to the 2005~2008 Nutrition and Health Survey in Taiwan (NAHSIT), more than half of Taiwanese women (57.3%) had metabolic syndrome during menopause. Metabolic syndrome is a set of risk factors for cardiovascular disease (CVD) that increase the risk of cardiovascular disease, diabetes, and mortality. Epidemiological studies suggest that the consumption of tomato-based foods might reduce the risk factors for CVD. The aim of this study is to examine the effects of tomato consumption on lowering the metabolic syndrome risk factors among overweight postmenopausal women. (2) Methods: We conducted a randomized controlled trial using 8-week open-label dietary intervention. Overweight postmenopausal women aged 45-70 years old were recruited from Taipei Medical University in October 2013. They were randomly assigned into two groups (a control diet vs. a tomato diet). Blood samples were collected at the baseline and at the 4th and 8th weeks. The lipid profile, blood sugar, and antioxidant biomarkers, i.e., the ferric-reducing ability of plasma (FRAP) and serum carotenoids, were analyzed. Blood pressure, body weight, and body fat were also measured every week. (3) Results: After the 8-week dietary intervention, body weight, body mass index, waist circumference, and hip circumference were significantly lower in both groups (p < 0.05). Body fat mass, body fat percentage, waist circumference, and hip circumference were significantly lower in the tomato diet group than in the control diet group. The tomato diet group had significantly lower serum total cholesterol, triglyceride, systolic blood pressure and blood sugar, and higher high-density lipoprotein cholesterol than the control diet group. The antioxidant biomarkers, FRAP, beta-carotenoids, and lycopene were significantly higher in the tomato diet group than in the control diet group. (4) Conclusions: Fresh tomato consumption can increase antioxidant biomarkers to reduce risks of metabolic syndrome in postmenopausal women.

Assessment of the Liver Steatosis and Fibrosis Risk in Metabolic Syndrome and Its Individual Components, Considering the Varying Definitions Used in Clinical Practice throughout Time: A Retrospective Cross-Sectional Study.

Multiple modifications of metabolic syndrome diagnostic criteria have been made-NCEP: ATP III (from 2001, modified in 2004), IDF (2005), IDF Consortium (2009), or Polish Scientific Society Consortium standards (2022) are now frequently in use. Hepatosteatosis and hepatofibrosis are commonly mentioned aspects of metabolic syndrome that greatly increase the likelihood of developing complications. The objective of the study was to assess different diagnostic criteria for metabolic syndrome based on the prevalence of liver steatosis and fibrosis. A retrospective analysis was conducted on the medical data of 2102 patients. Out of all the single criteria, meeting the obesity criterion based on waist circumference showed the highest increase in the risk of hepatosteatosis (by 64-69%, depending on the definition used)-hypertriglyceridemia increased the risk of hepatofibrosis by 71%. Regardless of the specific criteria used, patients with metabolic syndrome had a 34-36% increased likelihood of developing hepatosteatosis-the probability of hepatofibrosis varied between 42% and 47% for the criteria established in 2004, 2005, and 2009, while the Polish 2022 criteria were not statistically significant (p = 0.818). It seems appropriate to establish consistent metabolic syndrome diagnostic criteria-the 2009 IDF guidelines are the most effective in assessing hepatosteatosis and fibrosis risk.

Association between polychlorinated biphenyl (PCB) and dioxin with metabolic syndrome (METS): a systematic review and meta-analysis

Polychlorinated biphenyls (PCBs) and dioxin are persistent endocrine disrupting chemicals (EDCs) and have been associated with an increased risk of metabolic syndrome (MetS). The aim of this systematic review and meta-analysis was to assess the associations of PCBs and dioxin with MetS and its risk factors, including obesity, hypertriglyceridaemia (HTG), hypertension (HTN) and diabetes mellitus (DM). We searched three electronic databases for epidemiological studies concerning PCBs and dioxin with MetS published up to the end of 2023. Meta-analysis was performed for MetS itself and each of the MetS risks based on a random-effects meta-analysis model, and odds ratios (ORs) with 95% confidence intervals (CIs) were obtained. Publication bias was assessed based on Egger’s test. Eleven studies were included from three databases up to 2023. There were 40,528 participants aged 18–89, where 18–100% of them were males, included in our meta-analysis. The meta-analysis results showed a strong association between PCB exposure and DM (OR = 3.593, 95% CI 2.566, 5.031), while most of the risk factors for MetS, including obesity (OR = 1.875, 95% CI 0.883, 3.979), HTN (OR = 1.335, 95% CI 0.902, 1.976) and HTG (OR = 1.611, 95% CI 0.981, 2.643), were weakly associated with PCB. Furthermore, both PCBs (OR = 1.162, 95% CI 0.994, 1.357) and dioxin (OR = 2.742, 95% CI 1.936, 3.883) were found to be weakly and strongly associated with MetS, respectively. Meta-regression analysis showed that DM in the Asian population is associated with PCB exposure, while HTG in the Northern American population is associated with PCB exposure. Our meta-analysis has demonstrated a strong relationship between DM and PCBs, while the relationship between PCBs with MetS and other risk factors is less pronounced. Additionally, MetS is weakly associated with dioxin exposure. To improve primary care outcomes, healthcare providers should consider incorporating the assessment of patients' risk of exposure to PCBs and dioxins into their evaluation procedures for more targeted medical interventions.

Dual Use of Cannabis with Tobacco Is Associated with Increased Sugary Food and Drink Intake in Young People.

Rates of cannabis initiation among teenagers and young adults are increasing. Further, the use of various forms of cannabis (smoked or vaped) with nicotine (dual use) is increasingly common among young people. The health effects of dual use are lesser known, particularly in the context of high-potency cannabis products and across different routes of administration, which is ominous in terms of predicting future health outcomes. There is a long history of cannabis use being associated with decreased activity and increased snacking, both of which could portend an increased risk of metabolic and cardiovascular disease, particularly when these habits begin during formative years. However, modern forms of cannabis may not have these same effects. Here, we assess whether cannabis use alone and dual use of cannabis with nicotine impact dietary and exercise habits in young people. An anonymous, social media-based survey was designed based on the UC San Diego Inhalant Questionnaire and published diet and exercise questionnaires. A total of 457 surveys were completed. Young sole cannabis users represented 29% of responders, 16% were dual users of cannabis and nicotine, and 55% were non-users of either drug. Although the sole use of cannabis was not associated with dietary or activity differences relative to non-users, dual users of cannabis and nicotine reported higher consumption of unhealthy sugars. This novel finding of dual use being associated with increased sugar intake in young people raises concerns for an increased risk of metabolic syndrome and cardiovascular disease in this population.

Fruit and vegetable intake modifies the association between ultra-processed food and metabolic syndrome

BackgroundThis prospective cohort study aimed to investigate the association between ultra-processed food (UPF) and the risk of metabolic syndrome (MetS), as well as to assess whether fruit and vegetable intake and weight change modify this association.MethodsWe included 1915 healthy participants who participated in the Tehran Lipid and Glucose Study (TLGS), all of whom had complete demographic, anthropometric, and dietary measurements. A validated food frequency questionnaire was used to assess UPF consumption based on the NOVA classification system. MetS was defined according to the Joint Interim Statement. Multivariable adjusted Cox regression was used to estimate hazard ratios (HRs) for MetS events across tertiles of UPF. The effect of fruit and vegetable consumption and weight change on this association was assessed using joint classification by Cox regression.ResultsUFP consumption showed no association with MetS risk after adjusting for confounders. However, after adjustment for dietary fiber, fruits, and vegetables, the highest tertile of UPF consumption was positively linked to MetS risk, compared to the lowest tertile. There was a significant interaction between fruit, vegetable, and dietary fiber intake and UPF consumption concerning the risk of MetS (All P values < 0.05). Among individuals consuming less than 248 g/day of fruit, the risk of MetS increased by 54% (confidence interval: 1.13–2.10) in the highest UPF tertile. Consuming vegetables and dietary fiber below the median (258 g/day and 42.2 g/day, respectively) increased the risk of MetS in the third tertile of UPF. However, consuming vegetables and fiber ≥ median intake, reduced the risk of MetS among those with the lowest UPF consumption. Furthermore, the risk of MetS was observed in the third tertile of UPF consumption among individuals with fruit and vegetable consumption < 537 g/day. UPF consumption was not associated with the risk of MetS in different weight change statuses.ConclusionsConsuming more fruits and vegetables mitigated the adverse effect of UPF on the risk of developing MetS.

Association Between the Triglyceride-Glucose Index and Serum Uric Acid to High-Density Lipoprotein (HDL) Cholesterol Ratio in Type 2 Diabetes Mellitus in Gabes City, Tunisia.

Background Type 2 diabetes mellitus (T2DM) is a significant risk factor for cardiovascular diseases (CVD). The triglyceride-glucoseindex (TyGi) is a novel biomarker for insulin resistance, strongly linked to CVD. Elevated serum uric acid levels and the uric acid to high-density lipoproteincholesterol ratio (UHR) are emerging as markers of metabolic syndrome and cardiovascular risk in T2DM. This study aimed to explore the association between the TyGiand UHR in T2DM patients. Objectives The aim of this study is to compare metabolic parameters in T2DM patients and assess the association between the TyGiand serum UHR. Methodology A cross-sectional case-control study was conducted at the University Hospital of Gabes, Gabes City, Tunisia with 50 T2DM patients and 50 gender-matched healthy controls. Inclusion criteria included adults aged 30-75 years with a confirmed diagnosis of T2DM on stable medication for at least three months. Exclusion criteria included other types of diabetes, significant liver or kidney disease, recent cardiovascular events, endocrine disorders, and substance abuse. Metabolic and biochemical parameters, including fasting blood sugar, postprandial blood sugar, glycosylated hemoglobin, lipid profile, and renal function, were measured. The TyGiand serum UHR were calculated and analyzed for correlations. Results T2DM patients exhibited significantly higher fasting blood sugar, postprandial blood sugar, glycosylated hemoglobin, TyGi, and serum UHR compared to controls, indicating impaired glycemic control and adverse lipid profiles. The UHR showed a positive correlation with a strong negative correlation with HDL and a positive correlation with uric acid levels. The linear regression analysis indicated a weak positive trend between the TyGi and serum UHR, although not statistically significant. Conclusion This study underscores the importance of the TyGiand serum UHRas biomarkers for evaluating metabolic and cardiovascular risk in T2DM. Further research is needed to explore their combined utility in clinical practice for early detection and management of cardiovascular complications in diabetic patients.

The combined effect of cardiorespiratory and muscular fitness on the incidence of metabolic syndrome before midlife.

Cardiorespiratory fitness (CRF) could reduce the risk of metabolic syndrome (MetS) while the association between muscular endurance capacity (MEC) and incident MetS has rarely been investigated in young adults. A total of 2890 military men and women, aged 18-39years, free of baseline MetS in Taiwan, were followed for incident MetS from baseline (2014) until the end of 2020. All subjects received annual health examinations for assessment of MetS. Physical fitness was assessed by CRF (estimated maximal oxygen uptake, VO2 max [mL/kg/min], in a 3000-m run) and MEC (numbers of 2-min push-ups). MetS was defined according to the International Diabetes Federation (IDF) criteria. Multiple Cox regression analysis was conducted with adjustments for baseline age, sex, substance use status and physical activity to determine the associations of CRF and MEC with incidences of new-onset MetS and related features, for example, central obesity, hypertension, dyslipidaemia and prediabetes or diabetes. To examine the combined effects of CRF and MEC status on incidence of MetS, high and low levels of CRF and MEC were separately defined by over and under the sex-specific median in each exercise test. During a median follow-up of 5.8years, there were 673 (23.3%) new-onset MetS. Higher CRF was associated with a lower incidence of MetS (hazard ratio [HR] and 95% confidence interval: 0.905 [0.877-0.933]), and its components separately, except hypertension. No association was observed between MEC and incident MetS, and its components separately, except hypertension. When evaluating the combined effects of MEC and CRF status on the incidence of MetS, it was observed that compared with the low CRF/low MEC, the high CRF/high MEC (HR: 0.553 [0.439-0.697]) and the high CRF/low MEC (HR: 0.730 [0.580-0.918]) had a lower incidence of new-onset MetS (P value for the intergroup difference=0.04). There was no significant result for the low CRF/high MEC. This study highlights that although the protective effects of MEC to reduce the incidence of MetS and most of its related features were mainly driven by CRF in young adults, there was an addictive effect of greater MEC on CRF to prevent the development of new-onset MetS before midlife.

Fasting and calorie restriction modulate age‐associated immunosenescence and inflammaging

AbstractAging is a multifaceted process impacting cells, tissues, organs, and organ systems of the body. Like other systems, aging affects both the adaptive and the innate components of the immune system, a phenomenon known as immunosenescence. The deregulation of the immune system puts elderly individuals at higher risk of infection, lower response to vaccines, and increased incidence of cancer. In the Western world, overnutrition has increased the incidence of obesity (linked with chronic inflammation) which increases the risk of metabolic syndrome, cardiovascular disease, and cancer. Aging is also associated with inflammaging a sterile chronic inflammation that predisposes individuals to age‐associated disease. Genetic manipulation of the nutrient‐sensing pathway, fasting, and calorie restriction (CR) has been shown to increase the lifespan of model organisms. As well in humans, fasting and CR have also been shown to improve different health parameters. Yet the direct effect of fasting and CR on the aging immune system needs to be further explored. Identifying the effect of fasting and CR on the immune system and how it modulates different parameters of immunosenescence could be important in designing pharmacological or nutritional interventions that slow or revert immunosenescence and strengthen the immune system of elderly individuals. Furthermore, clinical intervention can also be planned, by incorporating fasting or CR with medication, chemotherapy, and vaccination regimes. This review discusses age‐associated changes in the immune system and how these changes are modified by fasting and CR which add information on interventions that promote healthy aging and longevity in the growing aging population.

Association of sleep timing, sleep duration, and sleep latency with metabolic syndrome in middle-aged adults in Korea: A cross-sectional and longitudinal study

ObjectiveSleep is a potential risk factor for metabolic syndrome. We investigated the associations of various sleep characteristics with the status and incidence of metabolic syndrome in middle-aged Koreans. MethodsUsing data from a community-based Korean Medicine Daejeon Citizen Cohort study on participants aged 30-50years, cross-sectional (n = 1984) and longitudinal (n = 1216, median follow-up: 2.1years) analyses were performed. To study the association of metabolic syndrome and five components with various sleep characteristics, measured using the Pittsburgh Sleep Quality Index, we used Poisson and logistic regression and Cox proportional hazard regression analyses, adjusting for covariates. ResultsOf 1984 participants, 66%, 19%, and 15% belonged to the non-metabolic syndrome, pre-metabolic syndrome, and metabolic syndrome groups, respectively. After covariate adjustments, the pre-metabolic syndrome group was associated with late mid-sleep time (≥5:00; prevalence ratios 1.61, 95% confidence interval 1.01-2.54) and late bedtime (≥2:00; prevalence ratios 1.55, 95% confidence interval 1.03-2.34), and the metabolic syndrome group was associated with long sleep latency (prevalence ratios 1.33, 95% confidence interval 1.03-1.73), poor sleep quality (prevalence ratios 1.38, 95% confidence interval 1.07-1.78), and early wake time (<6:00; prevalence ratios 1.29, 95% confidence interval 1.01-1.63). Longitudinal analysis of participants without metabolic syndrome at baseline indicated a significant increase in metabolic syndrome risk associated with very short sleep duration (<6 hours; hazard ratio 1.72, 95% confidence interval 1.06-2.79), long sleep latency (>30 minutes; hazard ratio 1.86, 95% confidence interval 1.1-3.12), and early wake time (<6:00 o’clock; hazard ratio 1.73, 95% confidence interval 1.01-2.97). ConclusionSleep characteristics, such as short duration, long latency, and early wake time, were associated with an increased risk of metabolic syndrome in middle-aged adults.

Common genetic variants linked with insulin resistance associated with increased risk of metabolic syndrome and atherosclerosis in non-obese individuals

Common genetic variants linked with insulin resistance associated with increased risk of metabolic syndrome and atherosclerosis in non-obese individuals

Marital Quality-A Neglected Player in the Prevention of Cardiovascular Diseases: A Systematic Review of Longitudinal Studies.

Marital quality (MQ) is a psychosocial factor that has been neglected in cardiovascular prevention guidelines, although its association with cardiovascular diseases has been identified in several studies. Therefore, we aim to investigate how MQ either in positive or negative dimensions affect different cardiovascular risk factors and diseases. We systematically searched different databases in September 2023 for longitudinal studies conducted to assess the contribution of MQ to well-established cardiovascular risk factors and diseases. Two independent researchers screened studies and carried out data extraction and quality assessment of included ones. From 12,175 potential studies screened, 40 were included. The presence of significant heterogeneity in methodology, follow-up, and subsequent effect estimates made it unfeasible to do a meta-analysis. Despite the variation, most studies found a significant association of negative MQ measures with physical inactivity (2/2), high levels of smoking (4/5) and alcohol (3/3) use, increased metabolic syndrome risk (3/3), elevated type 2 diabetes mellitus (T2DM) risk and poor T2DM management (3/6), elevated cardiovascular disease risk and progression (9/11), increased body weight and obesity risk (2/3), elevated blood pressure and hypertension risk (7/8). Positive MQ measures were mainly associated with improvement in blood pressure control (2/2), reduced T2DM risk and its good management (1/1), reduced body weight and obesity risk (2/2), and increased survival in cardiovascular diseases (4/4). Based on current evidence, MQ seems to play a crucial role in developing established cardiovascular risk factors and diseases and is worth considering in preventive strategies.

Simulating the impact of greenspace exposure on metabolic biomarkers in a diverse population living in San Diego, California: A g-computation application.

Growing evidence exists that greenspace exposure can reduce metabolic syndrome risk, a growing public health concern with well-documented inequities across population subgroups. We capitalize on the use of g-computation to simulate the influence of multiple possible interventions on residential greenspace on nine metabolic biomarkers and metabolic syndrome in adults (N = 555) from the 2014-2017 Community of Mine Study living in San Diego County, California. Normalized difference vegetation index (NDVI) exposure from 2017 was averaged across a 400-m buffer around the participants' residential addresses. Participants' fasting plasma glucose, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglyceride concentrations, systolic and diastolic blood pressure, hemoglobin A1c (%), waist circumference, and metabolic syndrome were assessed as outcomes of interest. Using parametric g-computation, we calculated risk differences for participants being exposed to each decile of the participant NDVI distribution compared to minimum NDVI. Differential health impacts from NDVI exposure by sex, ethnicity, income, and age were examined. We found that a hypothetical increase in NDVI exposure led to a decrease in hemoglobin A1c (%), glucose, and high-density lipoprotein cholesterol concentrations, an increase in fasting total cholesterol, low-density lipoprotein cholesterol, and triglyceride concentrations, and minimal changes to systolic and diastolic blood pressure, waist circumference, and metabolic syndrome. The impact of NDVI changes was greater in women, Hispanic individuals, and those under 65 years old. G-computation helps to simulate the potential health benefits of differential NDVI exposure and identifies which subpopulations can benefit most from targeted interventions aimed at minimizing health disparities.

A wearable sensor patch for joule-heating sweating and comfortable biofluid monitoring

Extracting sufficient volumes of sweat consistently in various scenarios is necessary for next-generation wearable sweat sensors. Here, we developed a sensor patch for Joule-heating sweating and comfortable biofluid monitoring. The Ti3C2Tx nanosheet provides silk fabrics with good electrical conductivity which can serve as an efficient low-voltage electrothermal platform. This biosensor can induce significant sweating in volunteers within just 5 minutes through mild heat stimulation, allowing real-time assessment of metabolic syndrome risks, including Na+, K+, pH, and uric acid levels. Unlike traditional sweat sensors that rely on iontophoresis or physical movement, our approach offered enhanced comfort and efficiency, particularly in sedentary scenarios. Such integration of Joule-heating sweating and sweat analysis endows its potential as a versatile and user-friendly tool in precision medicine and healthcare monitoring.

Development of a User-Friendly Self-Screening Tool for Assessing Metabolic Syndrome Risk in Youths from Economically Challenged Regions.

Metabolic syndrome increases the risk of heart disease and diabetes. Early identification and management are crucial, especially in economically challenged regions with limited healthcare access. To develop nomograms for individualized risk estimation for metabolic syndrome in young people from low-income regions. We assessed 496 college students from two Brazilian cities with Gini indices ≤0.56. Of these, 69.9% were female, 65.1% were younger than 20 years, 71.8% were non-white, and 64.3% were enrolled in health-related courses. For external validity, we assessed metabolic syndrome in a subset of 375 students. We found 10 variables associated with abdominal obesity by logistic regression: age, biological sex, physical education facilities, enrollment in sports competitions during elementary school, grade retention, physical education as the preferred subject, physical education classes per week, and enrollment in sports training in secondary school (score A); adherence to 24 h movement behaviors (B score); and body weight (score C). We designed three nomograms (for scores A, B, and C), all of which showed acceptable performance according to the area under the receiver operating characteristic curve (≥0.70) and calibration (Hosmer-Lemeshow test, p > 0.05). In the external validation, we observed higher predictive capability for the A and B scores, while the C score had lower but still acceptable predictive ability. User-friendly self-reported data accurately predict metabolic syndrome among youths from economically challenging areas.